
—————————————————————————————————————————————————————————————————————— NOTE: Plots are interactive and you can use the legend to specify samples/treatment of interest. You can also download an .svg version of each figure within this report. ——————————————————————————————————————————————————————————————————————
Pre- and Post-Adapter Removal Read Stats
Total number of reads before and after adapter removal
Forward (R1) and reverse (R2) read length before and after adapter removal
Post-Merging Read Stats
Pre-filtering reads per sample
Post-filtering reads per sample
Pre-filtering base frequency per position on reads
Post-filtering base frequency per position on reads
Pre-filtering mean quality score per position on reads
Post-filtering mean quality score per position on reads
Pre-filtering read GC-content
## Mean,45.279
## Median,45.309
## Mode,45.110
## STDev,1.617
## GC,Count
Post-filtering read GC-content
## Mean,45.656
## Median,45.476
## Mode,44.762
## STDev,1.219
## GC,Count
Number of reads per quality score (pre-filtering)
Number of reads per quality score (post-filtering)
Number of reads per length (pre-filtering)
Number of reads per length (post-filtering)
Clustering Statistics
Number of ncASVs per clustering percentage – “1” represents number of ASVs
NOTE: The “1” on the x-axis represents number of ASVs identified by vsearch
Number of pcASVs per clustering percentage
NOTE: The “1” represents the number of AminoTypes which are unique amino acid sequences in your dataset